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Suhang Wang

Publication record assembled from the DBLP archive of ranked conferences.

Papers indexed

137

Venues

26

Active years

2013–2026

Best venue rank

A*

Where they publish

Papers

137 indexed papers, newest first.

YearVenueTitleAuthors
2026AAAISpecDetect: Simple, Fast, and Training-Free Detection of LLM-Generated Text via Spectral Analysis.Haitong Luo, Weiyao Zhang, Suhang Wang, Wenji Zou, Chungang Lin, Xuying Meng, Yujun Zhang
2026ACLDo Multimodal RAG Systems Leak Data? A Comprehensive Evaluation of Membership Inference and Image Caption Retrieval Attacks.Ali Al-Lawati, Suhang Wang
2026ACLA Reward-Guided Dual-Phase Framework for Adaptive Inference-Time Reasoning.Yingqian Cui, Zhenwei Dai, Pengfei He, Bing He, Hui Liu, Zhan Shi, Xianfeng Tang, Jingying Zeng, Suhang Wang, Yue Xing, Jiliang Tang, Benoit Dumoulin
2026ACLExposing Privacy Risks in Graph Retrieval-Augmented Generation.Jiale Liu, Jiahao Zhang, Suhang Wang
2026ACLGraph-Assisted Large Language Models: A Perspective on Mitigating Intrinsic Limitations.Haitong Luo, Fali Wang, Weiyao Zhang, Xianren Zhang, Zhiwei Zhang, Tianxiang Zhao, Minhua Lin, Jiahao Zhang, Hui Liu, Xianfeng Tang, Qi He, Suhang Wang, Xuying Meng, Yujun Zhang
2026ACLQuery-Efficient Agentic Graph Extraction Attacks on GraphRAG Systems.Shuhua Yang, Jiahao Zhang, Yilong Wang, Dongwon Lee, Suhang Wang
2026ACLA Functionality-Grounded Benchmark for Evaluating Web Agents in E-commerce Domains.Xianren Zhang, Shreyas Prasad, Di Wang, Qiuhai Zeng, Suhang Wang, Wenbo Yan, Mat Hans
2026EACLDecoding Time Series with LLMs: A Multi-Agent Framework for Cross-Domain Annotation.Minhua Lin, Zhengzhang Chen, Yanchi Liu, Xujiang Zhao, Zongyu Wu, Junxiang Wang, Xiang Zhang, Suhang Wang, Haifeng Chen
2026EACLToolDreamer: Instilling LLM Reasoning Into Tool Retrievers.Saptarshi Sengupta, Zhengyu Zhou, Jun Araki, Xingbo Wang, Bingqing Wang, Suhang Wang, Zhe Feng
2026EACLImage Corruption-Inspired Membership Inference Attacks against Large Vision-Language Models.Zongyu Wu, Minhua Lin, Zhiwei Zhang, Fali Wang, Xianren Zhang, Xiang Zhang, Suhang Wang
2026WWWGPR: Empowering Generation with Graph-Pretrained Retriever.Xiaochen Wang, Zongyu Wu, Yuan Zhong, Xiang Zhang, Suhang Wang, Fenglong Ma
2026WSDMUnlearning Inversion Attacks for Graph Neural Networks.Jiahao Zhang, Yilong Wang, Zhiwei Zhang, Xiaorui Liu, Suhang Wang
2025ACLA General Framework to Enhance Fine-tuning-based LLM Unlearning.Jie Ren, Zhenwei Dai, Xianfeng Tang, Hui Liu, Jingying Zeng, Zhen Li, Rahul Goutam, Suhang Wang, Yue Xing, Qi He, Hui Liu
2025ACLStepwise Perplexity-Guided Refinement for Efficient Chain-of-Thought Reasoning in Large Language Models.Yingqian Cui, Pengfei He, Jingying Zeng, Hui Liu, Xianfeng Tang, Zhenwei Dai, Yan Han, Chen Luo, Jing Huang, Zhen Li, Suhang Wang, Yue Xing, Jiliang Tang, Qi He
2025ACLDivide-Verify-Refine: Can LLMs Self-align with Complex Instructions?Xianren Zhang, Xianfeng Tang, Hui Liu, Zongyu Wu, Qi He, Dongwon Lee, Suhang Wang
2025CIKMTowards Reliable GNNs: Adversarial Calibration Learning for Confidence Estimation.Yilong Wang, Jiahao Zhang, Tianxiang Zhao, Suhang Wang
2025COLINGExploring Language Model Generalization in Low-Resource Extractive QA.Saptarshi Sengupta, Wenpeng Yin, Preslav Nakov, Shreya Ghosh, Suhang Wang
2025COLINGTOP-Training: Target-Oriented Pretraining for Medical Extractive Question Answering.Saptarshi Sengupta, Connor T. Heaton, Shreya Ghosh, Wenpeng Yin, Preslav Nakov, Suhang Wang
2025EMNLPGAMIC: Graph-Aligned Molecular In-context Learning for Molecule Analysis via LLMs.Ali Al-Lawati, Jason Lucas, Zhiwei Zhang, Prasenjit Mitra, Suhang Wang
2025EMNLPSUA: Stealthy Multimodal Large Language Model Unlearning Attack.Xianren Zhang, Hui Liu, Delvin Ce Zhang, Xianfeng Tang, Qi He, Dongwon Lee, Suhang Wang
2025ICDMxTime: Extreme Event Prediction with Hierarchical Knowledge Distillation and Expert Fusion.Quan Li, Wenchao Yu, Suhang Wang, Minhua Lin, Lingwei Chen, Wei Cheng, Haifeng Chen
2025ICLRRobustness Inspired Graph Backdoor Defense.Zhiwei Zhang, Minhua Lin, Junjie Xu, Zongyu Wu, Enyan Dai, Suhang Wang
2025ICLRCatastrophic Failure of LLM Unlearning via Quantization.Zhiwei Zhang, Fali Wang, Xiaomin Li, Zongyu Wu, Xianfeng Tang, Hui Liu, Qi He, Wenpeng Yin, Suhang Wang
2025KDDThe 2nd Workshop on Large Language Models for E-Commerce.Haoyu Han, Fali Wang, Chen Luo, Hui Liu, Jing Huang, Zhen Li, Zhenwei Dai, Qi He, Yiwei Sun, Dawei Yin, Suhang Wang, Jiliang Tang, Jian Pei, Xianfeng Tang
2025KDDPreGIP: Watermarking the Pretraining of Graph Neural Networks for Deep IP Protection.Enyan Dai, Minhua Lin, Suhang Wang
2025KDDStealing Training Graphs from Graph Neural Networks.Minhua Lin, Enyan Dai, Junjie Xu, Jinyuan Jia, Xiang Zhang, Suhang Wang
2025KDDAre You Using Reliable Graph Prompts? Trojan Prompt Attacks on Graph Neural Networks.Minhua Lin, Zhiwei Zhang, Enyan Dai, Zongyu Wu, Yilong Wang, Xiang Zhang, Suhang Wang
2025KDDA Survey on Small Language Models in the Era of Large Language Models: Architecture, Capabilities, and Trustworthiness.Fali Wang, Minhua Lin, Yao Ma, Hui Liu, Qi He, Xianfeng Tang, Jiliang Tang, Jian Pei, Suhang Wang
2025NAACLLearning with Less: Knowledge Distillation from Large Language Models via Unlabeled Data.Juanhui Li, Sreyashi Nag, Hui Liu, Xianfeng Tang, Sheikh Muhammad Sarwar, Limeng Cui, Hansu Gu, Suhang Wang, Qi He, Jiliang Tang
2025WWWFairness-aware Prompt Tuning for Graph Neural Networks.Zhengpin Li, Minhua Lin, Jian Wang, Suhang Wang
2025WSDMBridging Source and Target Domains via Link Prediction for Unsupervised Domain Adaptation on Graphs.Yilong Wang, Tianxiang Zhao, Zongyu Wu, Suhang Wang
2024AAAISpectral-Based Graph Neural Networks for Complementary Item Recommendation.Haitong Luo, Xuying Meng, Suhang Wang, Hanyun Cao, Weiyao Zhang, Yequan Wang, Yujun Zhang
2024ACLGraph Chain-of-Thought: Augmenting Large Language Models by Reasoning on Graphs.Bowen Jin, Chulin Xie, Jiawei Zhang, Kashob Kumar Roy, Yu Zhang, Zheng Li, Ruirui Li, Xianfeng Tang, Suhang Wang, Yu Meng, Jiawei Han
2024CIKMHC-GST: Heterophily-aware Distribution Consistency based Graph Self-training.Fali Wang, Tianxiang Zhao, Junjie Xu, Suhang Wang
2024CIKMShape-aware Graph Spectral Learning.Junjie Xu, Enyan Dai, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024DSAAAdversarial Robustness in Graph Neural Networks: Recent Advances and New Frontier.Zhichao Hou, Minhua Lin, MohamadAli Torkamani, Suhang Wang, Xiaorui Liu
2024ECCVComprehensive Attribution: Inherently Explainable Vision Model with Feature Detector.Xianren Zhang, Dongwon Lee, Suhang Wang
2024EMNLPInfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024ICDELightLT: A Lightweight Representation Quantization Framework for Long-Tail Data.Haoyu Wang, Ruirui Li, Zhengyang Wang, Xianfeng Tang, Danqing Zhang, Monica Xiao Cheng, Bing Yin, Jasha Droppo, Suhang Wang, Jing Gao
2024ICLRTowards Unified Multi-Modal Personalization: Large Vision-Language Models for Generative Recommendation and Beyond.Tianxin Wei, Bowen Jin, Ruirui Li, Hansi Zeng, Zhengyang Wang, Jianhui Sun, Qingyu Yin, Hanqing Lu, Suhang Wang, Jingrui He, Xianfeng Tang
2024ICMLLanguage Models as Semantic Indexers.Bowen Jin, Hansi Zeng, Guoyin Wang, Xiusi Chen, Tianxin Wei, Ruirui Li, Zhengyang Wang, Zheng Li, Yang Li, Hanqing Lu, Suhang Wang, Jiawei Han, Xianfeng Tang
2024ICMLEfficient Contrastive Learning for Fast and Accurate Inference on Graphs.Teng Xiao, Huaisheng Zhu, Zhiwei Zhang, Zhimeng Guo, Charu C. Aggarwal, Suhang Wang, Vasant G. Honavar
2024KDDAddressing Shortcomings in Fair Graph Learning Datasets: Towards a New Benchmark.Xiaowei Qian, Zhimeng Guo, Jialiang Li, Haitao Mao, Bingheng Li, Suhang Wang, Yao Ma
2024KDDRethinking Graph Backdoor Attacks: A Distribution-Preserving Perspective.Zhiwei Zhang, Minhua Lin, Enyan Dai, Suhang Wang
2024KDDMulti-source Unsupervised Domain Adaptation on Graphs with Transferability Modeling.Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2024NAACLUniversal Prompt Optimizer for Safe Text-to-Image Generation.Zongyu Wu, Hongcheng Gao, Yueze Wang, Xiang Zhang, Suhang Wang
2024WWWHierarchical Query Classification in E-commerce Search.Bing He, Sreyashi Nag, Limeng Cui, Suhang Wang, Zheng Li, Rahul Goutam, Zhen Li, Haiyang Zhang
2024WWWDisambiguated Node Classification with Graph Neural Networks.Tianxiang Zhao, Xiang Zhang, Suhang Wang
2024VLDBInfuserKI: Enhancing Large Language Models with Knowledge Graphs via Infuser-Guided Knowledge Integration.Fali Wang, Runxue Bao, Suhang Wang, Wenchao Yu, Yanchi Liu, Wei Cheng, Haifeng Chen
2024WSDMDistribution Consistency based Self-Training for Graph Neural Networks with Sparse Labels.Fali Wang, Tianxiang Zhao, Suhang Wang
2024WSDMInterpretable Imitation Learning with Dynamic Causal Relations.Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2024SDMActive Learning for Graphs with Noisy Structures.Hongliang Chi, Cong Qi, Suhang Wang, Yao Ma
2023CIKMTowards Fair Graph Neural Networks via Graph Counterfactual.Zhimeng Guo, Jialiang Li, Teng Xiao, Yao Ma, Suhang Wang
2023ICDEJointly Attacking Graph Neural Network and its Explanations.Wenqi Fan, Han Xu, Wei Jin, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Qing Li, Jiliang Tang, Jianping Wang, Charu C. Aggarwal
2023KDDExploiting Intent Evolution in E-commercial Query Recommendation.Yu Wang, Zhengyang Wang, Hengrui Zhang, Qingyu Yin, Xianfeng Tang, Yinghan Wang, Danqing Zhang, Limeng Cui, Monica Xiao Cheng, Bing Yin, Suhang Wang, Philip S. Yu
2023KDDA Unified Framework of Graph Information Bottleneck for Robustness and Membership Privacy.Enyan Dai, Limeng Cui, Zhengyang Wang, Xianfeng Tang, Yinghan Wang, Monica Xiao Cheng, Bing Yin, Suhang Wang
2023KDDReconsidering Learning Objectives in Unbiased Recommendation: A Distribution Shift Perspective.Teng Xiao, Zhengyu Chen, Suhang Wang
2023KDDSkill Disentanglement for Imitation Learning from Suboptimal Demonstrations.Tianxiang Zhao, Wenchao Yu, Suhang Wang, Lu Wang, Xiang Zhang, Yuncong Chen, Yanchi Liu, Wei Cheng, Haifeng Chen
2023PAKDDYou Need to Look Globally: Discovering Representative Topology Structures to Enhance Graph Neural Network.Huaisheng Zhu, Xianfeng Tang, Tianxiang Zhao, Suhang Wang
2023RecSysSTAN: Stage-Adaptive Network for Multi-Task Recommendation by Learning User Lifecycle-Based Representation.Wanda Li, Wenhao Zheng, Xuanji Xiao, Suhang Wang
2023WWWUnnoticeable Backdoor Attacks on Graph Neural Networks.Enyan Dai, Minhua Lin, Xiang Zhang, Suhang Wang
2023WSDMTowards Faithful and Consistent Explanations for Graph Neural Networks.Tianxiang Zhao, Dongsheng Luo, Xiang Zhang, Suhang Wang
2022AAAITowards Off-Policy Learning for Ranking Policies with Logged Feedback.Teng Xiao, Suhang Wang
2022CIKMRepresentation Matters When Learning From Biased Feedback in Recommendation.Teng Xiao, Zhengyu Chen, Suhang Wang
2022ICDMHP-GMN: Graph Memory Networks for Heterophilous Graphs.Junjie Xu, Enyan Dai, Xiang Zhang, Suhang Wang
2022WWWExploring Edge Disentanglement for Node Classification.Tianxiang Zhao, Xiang Zhang, Suhang Wang
2022WSDMTowards Robust Graph Neural Networks for Noisy Graphs with Sparse Labels.Enyan Dai, Wei Jin, Hui Liu, Suhang Wang
2022WSDMFriend Story Ranking with Edge-Contextual Local Graph Convolutions.Xianfeng Tang, Yozen Liu, Xinran He, Suhang Wang, Neil Shah
2022WSDMTowards Unbiased and Robust Causal Ranking for Recommender Systems.Teng Xiao, Suhang Wang
2022WSDMTowards Fair Classifiers Without Sensitive Attributes: Exploring Biases in Related Features.Tianxiang Zhao, Enyan Dai, Kai Shu, Suhang Wang
2021AAAINeural Utility Functions.Porter Jenkins, Ahmad Farag, J. Stockton Jenkins, Huaxiu Yao, Suhang Wang, Zhenhui Li
2021CIKMTowards Self-Explainable Graph Neural Network.Enyan Dai, Suhang Wang
2021KDDGraph Adversarial Attack via Rewiring.Yao Ma, Suhang Wang, Tyler Derr, Lingfei Wu, Jiliang Tang
2021KDDNRGNN: Learning a Label Noise Resistant Graph Neural Network on Sparsely and Noisily Labeled Graphs.Enyan Dai, Charu Aggarwal, Suhang Wang
2021KDDLabeled Data Generation with Inexact Supervision.Enyan Dai, Kai Shu, Yiwei Sun, Suhang Wang
2021KDDLearning How to Propagate Messages in Graph Neural Networks.Teng Xiao, Zhengyu Chen, Donglin Wang, Suhang Wang
2021WWWSrVARM: State Regularized Vector Autoregressive Model for Joint Learning of Hidden State Transitions and State-Dependent Inter-Variable Dependencies from Multi-variate Time Series.Tsung-Yu Hsieh, Yiwei Sun, Xianfeng Tang, Suhang Wang, Vasant G. Honavar
2021WSDMSay No to the Discrimination: Learning Fair Graph Neural Networks with Limited Sensitive Attribute Information.Enyan Dai, Suhang Wang
2021WSDMExplainable Multivariate Time Series Classification: A Deep Neural Network Which Learns to Attend to Important Variables As Well As Time Intervals.Tsung-Yu Hsieh, Suhang Wang, Yiwei Sun, Vasant G. Honavar
2021WSDMGraphSMOTE: Imbalanced Node Classification on Graphs with Graph Neural Networks.Tianxiang Zhao, Xiang Zhang, Suhang Wang
2021SDMFunctional Autoencoders for Functional Data Representation Learning.Tsung-Yu Hsieh, Yiwei Sun, Suhang Wang, Vasant G. Honavar
2020AAAIJoint Modeling of Local and Global Temporal Dynamics for Multivariate Time Series Forecasting with Missing Values.Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020AAAIGraph Few-Shot Learning via Knowledge Transfer.Huaxiu Yao, Chuxu Zhang, Ying Wei, Meng Jiang, Suhang Wang, Junzhou Huang, Nitesh V. Chawla, Zhenhui Li
2020CIKMInvestigating and Mitigating Degree-Related Biases in Graph Convoltuional Networks.Xianfeng Tang, Huaxiu Yao, Yiwei Sun, Yiqi Wang, Jiliang Tang, Charu C. Aggarwal, Prasenjit Mitra, Suhang Wang
2020CIKMSemi-Supervised Graph-to-Graph Translation.Tianxiang Zhao, Xianfeng Tang, Xiang Zhang, Suhang Wang
2020ICDMMALCOM: Generating Malicious Comments to Attack Neural Fake News Detection Models.Thai Le, Suhang Wang, Dongwon Lee
2020ICDMLearning from Incomplete Labeled Data via Adversarial Data Generation.Wentao Wang, Tyler Derr, Yao Ma, Suhang Wang, Hui Liu, Zitao Liu, Jiliang Tang
2020ICWSMGinger Cannot Cure Cancer: Battling Fake Health News with a Comprehensive Data Repository.Enyan Dai, Yiwei Sun, Suhang Wang
2020ICWSMHierarchical Propagation Networks for Fake News Detection: Investigation and Exploitation.Kai Shu, Deepak Mahudeswaran, Suhang Wang, Huan Liu
2020KDDDETERRENT: Knowledge Guided Graph Attention Network for Detecting Healthcare Misinformation.Limeng Cui, Haeseung Seo, Maryam Tabar, Fenglong Ma, Suhang Wang, Dongwon Lee
2020KDDGraph Structure Learning for Robust Graph Neural Networks.Wei Jin, Yao Ma, Xiaorui Liu, Xianfeng Tang, Suhang Wang, Jiliang Tang
2020KDDGRACE: Generating Concise and Informative Contrastive Sample to Explain Neural Network Model's Prediction.Thai Le, Suhang Wang, Dongwon Lee
2020KDDKnowing your FATE: Friendship, Action and Temporal Explanations for User Engagement Prediction on Social Apps.Xianfeng Tang, Yozen Liu, Neil Shah, Xiaolin Shi, Prasenjit Mitra, Suhang Wang
2020WWWAdversarial Attacks on Graph Neural Networks via Node Injections: A Hierarchical Reinforcement Learning Approach.Yiwei Sun, Suhang Wang, Xianfeng Tang, Tsung-Yu Hsieh, Vasant G. Honavar
2020WSDMDeep Multi-Graph Clustering via Attentive Cross-Graph Association.Dongsheng Luo, Jingchao Ni, Suhang Wang, Yuchen Bian, Xiong Bill Yu, Xiang Zhang
2020WSDMTransferring Robustness for Graph Neural Network Against Poisoning Attacks.Xianfeng Tang, Yandong Li, Yiwei Sun, Huaxiu Yao, Prasenjit Mitra, Suhang Wang
2020SDMGlobal-and-Local Aware Data Generation for the Class Imbalance Problem.Wentao Wang, Suhang Wang, Wenqi Fan, Zitao Liu, Jiliang Tang
2019AAAIUnsupervised Fake News Detection on Social Media: A Generative Approach.Shuo Yang, Kai Shu, Suhang Wang, Renjie Gu, Fan Wu, Huan Liu
2019CIKMdEFEND: A System for Explainable Fake News Detection.Limeng Cui, Kai Shu, Suhang Wang, Dongwon Lee, Huan Liu
2019CIKMUnsupervised Representation Learning of Spatial Data via Multimodal Embedding.Porter Jenkins, Ahmad Farag, Suhang Wang, Zhenhui Li
2019CIKMDocument-Level Multi-Aspect Sentiment Classification for Online Reviews of Medical Experts.Tian Shi, Vineeth Rakesh, Suhang Wang, Chandan K. Reddy
2019CIKMBeyond word2vec: Distance-graph Tensor Factorization for Word and Document Embeddings.Suhang Wang, Charu C. Aggarwal, Huan Liu
2019IJCAIMEGAN: A Generative Adversarial Network for Multi-View Network Embedding.Yiwei Sun, Suhang Wang, Tsung-Yu Hsieh, Xianfeng Tang, Vasant G. Honavar
2019KDDGraph Convolutional Networks with EigenPooling.Yao Ma, Suhang Wang, Charu C. Aggarwal, Jiliang Tang
2019KDDdEFEND: Explainable Fake News Detection.Kai Shu, Limeng Cui, Suhang Wang, Dongwon Lee, Huan Liu
2019WSDMLinked Variational AutoEncoders for Inferring Substitutable and Supplementary Items.Vineeth Rakesh, Suhang Wang, Kai Shu, Huan Liu
2019WSDMBeyond News Contents: The Role of Social Context for Fake News Detection.Kai Shu, Suhang Wang, Huan Liu
2019SDMMulti-dimensional Graph Convolutional Networks.Yao Ma, Suhang Wang, Charu C. Aggarwal, Dawei Yin, Jiliang Tang
2018AAAIExploiting Emotion on Reviews for Recommender Systems.Xuying Meng, Suhang Wang, Huan Liu, Yujun Zhang
2018AAAIPersonalized Privacy-Preserving Social Recommendation.Xuying Meng, Suhang Wang, Kai Shu, Jundong Li, Bo Chen, Huan Liu, Yujun Zhang
2018ICDMDeep Headline Generation for Clickbait Detection.Kai Shu, Suhang Wang, Thai Le, Dongwon Lee, Huan Liu
2018ICDMTowards Interpretation of Recommender Systems with Sorted Explanation Paths.Fan Yang, Ninghao Liu, Suhang Wang, Xia Hu
2018MICCAIMultimodal Fusion of Brain Networks with Longitudinal Couplings.Wen Zhang, Kai Shu, Suhang Wang, Huan Liu, Yalin Wang
2018WACVWeakly Supervised Facial Attribute Manipulation via Deep Adversarial Network.Yilin Wang, Suhang Wang, Guojun Qi, Jiliang Tang, Baoxin Li
2018WSDMCrossFire: Cross Media Joint Friend and Item Recommendations.Kai Shu, Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2017AAAICLARE: A Joint Approach to Label Classification and Tag Recommendation.Yilin Wang, Suhang Wang, Jiliang Tang, Guo-Jun Qi, Huan Liu, Baoxin Li
2017CIKMAttributed Signed Network Embedding.Suhang Wang, Charu C. Aggarwal, Jiliang Tang, Huan Liu
2017ICDMNetwork Embedding with Centrality Information.Yao Ma, Suhang Wang, Jiliang Tang
2017KDDRandomized Feature Engineering as a Fast and Accurate Alternative to Kernel Methods.Suhang Wang, Charu C. Aggarwal, Huan Liu
2017WWWWhat Your Images Reveal: Exploiting Visual Contents for Point-of-Interest Recommendation.Suhang Wang, Yilin Wang, Jiliang Tang, Kai Shu, Suhas Ranganath, Huan Liu
2017SDMPrice Recommendation on Vacation Rental Websites.Yang Li, Suhang Wang, Tao Yang, Quan Pan, Jiliang Tang
2017SDMUsing a Random Forest to Inspire a Neural Network and Improving on It.Suhang Wang, Charu C. Aggarwal, Huan Liu
2017SDMSigned Network Embedding in Social Media.Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Yi Chang, Huan Liu
2017SDMExploiting Hierarchical Structures for Unsupervised Feature Selection.Suhang Wang, Yilin Wang, Jiliang Tang, Charu C. Aggarwal, Suhas Ranganath, Huan Liu
2016AAAIPredicting Online Protest Participation of Social Media Users.Suhas Ranganath, Fred Morstatter, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016AAAIRecommendation with Social Dimensions.Jiliang Tang, Suhang Wang, Xia Hu, Dawei Yin, Yingzhou Bi, Yi Chang, Huan Liu
2016CIKMLinked Document Embedding for Classification.Suhang Wang, Jiliang Tang, Charu C. Aggarwal, Huan Liu
2016CIKMPaired Restricted Boltzmann Machine for Linked Data.Suhang Wang, Jiliang Tang, Fred Morstatter, Huan Liu
2016CVPRPPP: Joint Pointwise and Pairwise Image Label Prediction.Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2016ICWSMIdentifying Rhetorical Questions in Social Media.Suhas Ranganath, Xia Hu, Jiliang Tang, Suhang Wang, Huan Liu
2016SDMExploiting Emotional Information for Trust/Distrust Prediction.Ghazaleh Beigi, Jiliang Tang, Suhang Wang, Huan Liu
2015AAAIEmbedded Unsupervised Feature Selection.Suhang Wang, Jiliang Tang, Huan Liu
2015CIKMToward Dual Roles of Users in Recommender Systems.Suhang Wang, Jiliang Tang, Huan Liu
2015ICDMFinding Time-Critical Responses for Information Seeking in Social Media.Suhas Ranganath, Suhang Wang, Xia Hu, Jiliang Tang, Huan Liu
2015IJCAIExploring Implicit Hierarchical Structures for Recommender Systems.Suhang Wang, Jiliang Tang, Yilin Wang, Huan Liu
2015IJCAIUnsupervised Sentiment Analysis for Social Media Images.Yilin Wang, Suhang Wang, Jiliang Tang, Huan Liu, Baoxin Li
2013ICONIPStructure Preserving Low-Rank Representation for Semi-supervised Face Recognition.Yong Peng, Suhang Wang, Shen Wang, Bao-Liang Lu